Overview

Dataset statistics

Number of variables56
Number of observations1102
Missing cells29374
Missing cells (%)47.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory522.1 KiB
Average record size in memory485.1 B

Variable types

Categorical16
Text6
DateTime4
Numeric10
Unsupported20

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-16782/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
제작취급품목내용 has constant value ""Constant
문화체육업종명 is highly imbalanced (57.0%)Imbalance
문화사업자구분명 is highly imbalanced (57.0%)Imbalance
건물용도명 is highly imbalanced (58.3%)Imbalance
통로너비 is highly imbalanced (95.1%)Imbalance
조명시설조도 is highly imbalanced (95.1%)Imbalance
노래방실수 is highly imbalanced (95.1%)Imbalance
청소년실수 is highly imbalanced (95.1%)Imbalance
제공게임물명 is highly imbalanced (67.3%)Imbalance
지역구분명 is highly imbalanced (56.4%)Imbalance
인허가취소일자 has 796 (72.2%) missing valuesMissing
폐업일자 has 450 (40.8%) missing valuesMissing
휴업시작일자 has 1102 (100.0%) missing valuesMissing
휴업종료일자 has 1102 (100.0%) missing valuesMissing
재개업일자 has 1102 (100.0%) missing valuesMissing
전화번호 has 758 (68.8%) missing valuesMissing
소재지면적 has 1102 (100.0%) missing valuesMissing
소재지우편번호 has 703 (63.8%) missing valuesMissing
도로명주소 has 16 (1.5%) missing valuesMissing
도로명우편번호 has 670 (60.8%) missing valuesMissing
업태구분명 has 1102 (100.0%) missing valuesMissing
총층수 has 635 (57.6%) missing valuesMissing
제작취급품목내용 has 1101 (99.9%) missing valuesMissing
시설면적 has 127 (11.5%) missing valuesMissing
지상층수 has 595 (54.0%) missing valuesMissing
지하층수 has 692 (62.8%) missing valuesMissing
비상계단여부 has 1102 (100.0%) missing valuesMissing
비상구여부 has 1102 (100.0%) missing valuesMissing
자동환기여부 has 1102 (100.0%) missing valuesMissing
청소년실여부 has 1102 (100.0%) missing valuesMissing
특수조명여부 has 1102 (100.0%) missing valuesMissing
방음시설여부 has 1102 (100.0%) missing valuesMissing
비디오재생기명 has 1102 (100.0%) missing valuesMissing
조명시설유무 has 1102 (100.0%) missing valuesMissing
음향시설여부 has 1102 (100.0%) missing valuesMissing
편의시설여부 has 1102 (100.0%) missing valuesMissing
소방시설여부 has 1102 (100.0%) missing valuesMissing
총게임기수 has 771 (70.0%) missing valuesMissing
기존게임업외업종명 has 1102 (100.0%) missing valuesMissing
공연장형태구분명 has 1102 (100.0%) missing valuesMissing
품목명 has 1102 (100.0%) missing valuesMissing
최초등록시점 has 1102 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 33 (3.0%) zerosZeros
지상층수 has 25 (2.3%) zerosZeros
지하층수 has 40 (3.6%) zerosZeros

Reproduction

Analysis started2024-05-10 23:23:24.799421
Analysis finished2024-05-10 23:23:26.908744
Duration2.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
3150000
1102 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 1102
100.0%

Length

2024-05-10T23:23:27.031314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:27.195127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 1102
100.0%

관리번호
Text

UNIQUE 

Distinct1102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
2024-05-10T23:23:27.507715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters22040
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1102 ?
Unique (%)100.0%

Sample

1st rowCDFF2241021998000001
2nd rowCDFF2241021999000001
3rd rowCDFF2241021999000002
4th rowCDFF2241021999000003
5th rowCDFF2241021999000004
ValueCountFrequency (%)
cdff2241021998000001 1
 
0.1%
cdff2241022010000051 1
 
0.1%
cdff2241022010000045 1
 
0.1%
cdff2241022010000046 1
 
0.1%
cdff2241022010000047 1
 
0.1%
cdff2241022010000048 1
 
0.1%
cdff2241022011000005 1
 
0.1%
cdff2241022010000049 1
 
0.1%
cdff2241022010000052 1
 
0.1%
cdff2241022011000004 1
 
0.1%
Other values (1092) 1092
99.1%
2024-05-10T23:23:28.131865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7316
33.2%
2 4734
21.5%
F 2204
 
10.0%
1 2180
 
9.9%
4 1351
 
6.1%
C 1102
 
5.0%
D 1102
 
5.0%
9 617
 
2.8%
8 432
 
2.0%
7 281
 
1.3%
Other values (3) 721
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17632
80.0%
Uppercase Letter 4408
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7316
41.5%
2 4734
26.8%
1 2180
 
12.4%
4 1351
 
7.7%
9 617
 
3.5%
8 432
 
2.5%
7 281
 
1.6%
3 273
 
1.5%
5 233
 
1.3%
6 215
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
F 2204
50.0%
C 1102
25.0%
D 1102
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17632
80.0%
Latin 4408
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7316
41.5%
2 4734
26.8%
1 2180
 
12.4%
4 1351
 
7.7%
9 617
 
3.5%
8 432
 
2.5%
7 281
 
1.6%
3 273
 
1.5%
5 233
 
1.3%
6 215
 
1.2%
Latin
ValueCountFrequency (%)
F 2204
50.0%
C 1102
25.0%
D 1102
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7316
33.2%
2 4734
21.5%
F 2204
 
10.0%
1 2180
 
9.9%
4 1351
 
6.1%
C 1102
 
5.0%
D 1102
 
5.0%
9 617
 
2.8%
8 432
 
2.0%
7 281
 
1.3%
Other values (3) 721
 
3.3%

인허가일자
Date

Distinct807
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
Minimum1998-12-28 00:00:00
Maximum2024-03-26 00:00:00
2024-05-10T23:23:28.394872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:28.718874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)17.0%
Missing796
Missing (%)72.2%
Infinite0
Infinite (%)0.0%
Mean20037442
Minimum20020101
Maximum20220426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-05-10T23:23:28.998944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020101
5-th percentile20020101
Q120020101
median20020101
Q320020101
95-th percentile20111060
Maximum20220426
Range200325
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37371.94
Coefficient of variation (CV)0.0018651053
Kurtosis3.6330707
Mean20037442
Median Absolute Deviation (MAD)0
Skewness2.0595396
Sum6.1314572 × 109
Variance1.3966619 × 109
MonotonicityNot monotonic
2024-05-10T23:23:29.290423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020101 247
 
22.4%
20110427 3
 
0.3%
20090814 3
 
0.3%
20111207 2
 
0.2%
20090722 2
 
0.2%
20100423 2
 
0.2%
20090803 2
 
0.2%
20091012 1
 
0.1%
20130401 1
 
0.1%
20101001 1
 
0.1%
Other values (42) 42
 
3.8%
(Missing) 796
72.2%
ValueCountFrequency (%)
20020101 247
22.4%
20080626 1
 
0.1%
20081128 1
 
0.1%
20090209 1
 
0.1%
20090213 1
 
0.1%
20090217 1
 
0.1%
20090324 1
 
0.1%
20090709 1
 
0.1%
20090722 2
 
0.2%
20090727 1
 
0.1%
ValueCountFrequency (%)
20220426 1
0.1%
20190315 1
0.1%
20180725 1
0.1%
20170704 1
0.1%
20150224 1
0.1%
20140625 1
0.1%
20140527 1
0.1%
20131029 1
0.1%
20130401 1
0.1%
20121130 1
0.1%

영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
3
509 
4
458 
1
135 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 509
46.2%
4 458
41.6%
1 135
 
12.3%

Length

2024-05-10T23:23:29.563041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:29.763417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 509
46.2%
4 458
41.6%
1 135
 
12.3%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
폐업
509 
취소/말소/만료/정지/중지
458 
영업/정상
135 

Length

Max length14
Median length5
Mean length7.3548094
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row폐업
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
폐업 509
46.2%
취소/말소/만료/정지/중지 458
41.6%
영업/정상 135
 
12.3%

Length

2024-05-10T23:23:29.992593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:30.189944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 509
46.2%
취소/말소/만료/정지/중지 458
41.6%
영업/정상 135
 
12.3%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
3
509 
30
248 
35
149 
13
135 
31
61 

Length

Max length2
Median length2
Mean length1.5381125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30
2nd row3
3rd row30
4th row30
5th row30

Common Values

ValueCountFrequency (%)
3 509
46.2%
30 248
22.5%
35 149
 
13.5%
13 135
 
12.3%
31 61
 
5.5%

Length

2024-05-10T23:23:30.398502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:30.595472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 509
46.2%
30 248
22.5%
35 149
 
13.5%
13 135
 
12.3%
31 61
 
5.5%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
폐업
509 
허가취소
248 
직권말소
149 
영업중
135 
등록취소
61 

Length

Max length4
Median length3
Mean length2.9537205
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row허가취소
2nd row폐업
3rd row허가취소
4th row허가취소
5th row허가취소

Common Values

ValueCountFrequency (%)
폐업 509
46.2%
허가취소 248
22.5%
직권말소 149
 
13.5%
영업중 135
 
12.3%
등록취소 61
 
5.5%

Length

2024-05-10T23:23:30.944912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:31.323046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 509
46.2%
허가취소 248
22.5%
직권말소 149
 
13.5%
영업중 135
 
12.3%
등록취소 61
 
5.5%

폐업일자
Date

MISSING 

Distinct479
Distinct (%)73.5%
Missing450
Missing (%)40.8%
Memory size8.7 KiB
Minimum1999-10-20 00:00:00
Maximum2024-03-13 00:00:00
2024-05-10T23:23:31.687239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:32.127551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

전화번호
Text

MISSING 

Distinct342
Distinct (%)99.4%
Missing758
Missing (%)68.8%
Memory size8.7 KiB
2024-05-10T23:23:32.764489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.630814
Min length4

Characters and Unicode

Total characters2969
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique340 ?
Unique (%)98.8%

Sample

1st row699-6907
2nd row654-6145
3rd row3664-8383
4th row695-6908
5th row2603-0370
ValueCountFrequency (%)
2606-9478 2
 
0.6%
666-2064 2
 
0.6%
693-7966 1
 
0.3%
661-9004 1
 
0.3%
651-6288 1
 
0.3%
3661-3035 1
 
0.3%
695-6334 1
 
0.3%
664-9758 1
 
0.3%
382-4866 1
 
0.3%
692-4813 1
 
0.3%
Other values (332) 332
96.5%
2024-05-10T23:23:33.556511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 630
21.2%
- 361
12.2%
2 304
10.2%
0 248
 
8.4%
3 227
 
7.6%
9 224
 
7.5%
8 202
 
6.8%
4 200
 
6.7%
5 194
 
6.5%
1 194
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2608
87.8%
Dash Punctuation 361
 
12.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 630
24.2%
2 304
11.7%
0 248
 
9.5%
3 227
 
8.7%
9 224
 
8.6%
8 202
 
7.7%
4 200
 
7.7%
5 194
 
7.4%
1 194
 
7.4%
7 185
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 361
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2969
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 630
21.2%
- 361
12.2%
2 304
10.2%
0 248
 
8.4%
3 227
 
7.6%
9 224
 
7.5%
8 202
 
6.8%
4 200
 
6.7%
5 194
 
6.5%
1 194
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2969
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 630
21.2%
- 361
12.2%
2 304
10.2%
0 248
 
8.4%
3 227
 
7.6%
9 224
 
7.5%
8 202
 
6.8%
4 200
 
6.7%
5 194
 
6.5%
1 194
 
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)19.0%
Missing703
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean157827.16
Minimum157010
Maximum157928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-05-10T23:23:34.128151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157010
5-th percentile157276
Q1157846
median157881
Q3157904
95-th percentile157924
Maximum157928
Range918
Interquartile range (IQR)58

Descriptive statistics

Standard deviation196.36903
Coefficient of variation (CV)0.001244203
Kurtosis11.270666
Mean157827.16
Median Absolute Deviation (MAD)30
Skewness-3.5409856
Sum62973035
Variance38560.795
MonotonicityNot monotonic
2024-05-10T23:23:34.676507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
157897 27
 
2.5%
157851 19
 
1.7%
157910 18
 
1.6%
157030 17
 
1.5%
157928 16
 
1.5%
157847 13
 
1.2%
157918 13
 
1.2%
157881 12
 
1.1%
157812 12
 
1.1%
157884 11
 
1.0%
Other values (66) 241
 
21.9%
(Missing) 703
63.8%
ValueCountFrequency (%)
157010 2
 
0.2%
157030 17
1.5%
157240 1
 
0.1%
157280 5
 
0.5%
157800 1
 
0.1%
157801 3
 
0.3%
157804 1
 
0.1%
157805 2
 
0.2%
157806 1
 
0.1%
157807 7
0.6%
ValueCountFrequency (%)
157928 16
1.5%
157925 2
 
0.2%
157924 8
0.7%
157923 2
 
0.2%
157922 7
0.6%
157919 3
 
0.3%
157918 13
1.2%
157917 3
 
0.3%
157916 7
0.6%
157915 1
 
0.1%

지번주소
Text

Distinct1048
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
2024-05-10T23:23:35.339236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length43
Mean length27.73412
Min length17

Characters and Unicode

Total characters30563
Distinct characters266
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique997 ?
Unique (%)90.5%

Sample

1st row서울특별시 강서구 화곡동 1026-12번지
2nd row서울특별시 강서구 화곡동 775-8번지
3rd row서울특별시 강서구 등촌동 662-3번지 신송 211
4th row서울특별시 강서구 화곡동 353-55번지 2층
5th row서울특별시 강서구 화곡동 1060-15번지 16
ValueCountFrequency (%)
서울특별시 1102
19.5%
강서구 1102
19.5%
화곡동 673
 
11.9%
2층 214
 
3.8%
방화동 151
 
2.7%
1층 149
 
2.6%
등촌동 92
 
1.6%
3층 88
 
1.6%
지층 77
 
1.4%
공항동 54
 
1.0%
Other values (1304) 1945
34.4%
2024-05-10T23:23:36.641511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5521
18.1%
서 2233
 
7.3%
1 1373
 
4.5%
동 1171
 
3.8%
강 1126
 
3.7%
시 1108
 
3.6%
구 1104
 
3.6%
별 1103
 
3.6%
울 1103
 
3.6%
특 1102
 
3.6%
Other values (256) 13619
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16733
54.7%
Decimal Number 6691
 
21.9%
Space Separator 5521
 
18.1%
Dash Punctuation 1069
 
3.5%
Close Punctuation 174
 
0.6%
Open Punctuation 174
 
0.6%
Math Symbol 138
 
0.5%
Uppercase Letter 33
 
0.1%
Other Punctuation 28
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2233
13.3%
동 1171
 
7.0%
강 1126
 
6.7%
시 1108
 
6.6%
구 1104
 
6.6%
별 1103
 
6.6%
울 1103
 
6.6%
특 1102
 
6.6%
지 1062
 
6.3%
번 935
 
5.6%
Other values (225) 4686
28.0%
Decimal Number
ValueCountFrequency (%)
1 1373
20.5%
2 940
14.0%
3 773
11.6%
0 617
9.2%
5 534
 
8.0%
7 514
 
7.7%
4 500
 
7.5%
9 498
 
7.4%
6 492
 
7.4%
8 450
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
B 18
54.5%
F 4
 
12.1%
A 3
 
9.1%
T 2
 
6.1%
P 2
 
6.1%
G 1
 
3.0%
S 1
 
3.0%
N 1
 
3.0%
D 1
 
3.0%
Math Symbol
ValueCountFrequency (%)
< 64
46.4%
> 64
46.4%
~ 7
 
5.1%
+ 3
 
2.2%
Close Punctuation
ValueCountFrequency (%)
) 173
99.4%
] 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 173
99.4%
[ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
5521
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1069
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16733
54.7%
Common 13795
45.1%
Latin 35
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2233
13.3%
동 1171
 
7.0%
강 1126
 
6.7%
시 1108
 
6.6%
구 1104
 
6.6%
별 1103
 
6.6%
울 1103
 
6.6%
특 1102
 
6.6%
지 1062
 
6.3%
번 935
 
5.6%
Other values (225) 4686
28.0%
Common
ValueCountFrequency (%)
5521
40.0%
1 1373
 
10.0%
- 1069
 
7.7%
2 940
 
6.8%
3 773
 
5.6%
0 617
 
4.5%
5 534
 
3.9%
7 514
 
3.7%
4 500
 
3.6%
9 498
 
3.6%
Other values (11) 1456
 
10.6%
Latin
ValueCountFrequency (%)
B 18
51.4%
F 4
 
11.4%
A 3
 
8.6%
Ⅰ 2
 
5.7%
T 2
 
5.7%
P 2
 
5.7%
G 1
 
2.9%
S 1
 
2.9%
N 1
 
2.9%
D 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16733
54.7%
ASCII 13828
45.2%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5521
39.9%
1 1373
 
9.9%
- 1069
 
7.7%
2 940
 
6.8%
3 773
 
5.6%
0 617
 
4.5%
5 534
 
3.9%
7 514
 
3.7%
4 500
 
3.6%
9 498
 
3.6%
Other values (20) 1489
 
10.8%
Hangul
ValueCountFrequency (%)
서 2233
13.3%
동 1171
 
7.0%
강 1126
 
6.7%
시 1108
 
6.6%
구 1104
 
6.6%
별 1103
 
6.6%
울 1103
 
6.6%
특 1102
 
6.6%
지 1062
 
6.3%
번 935
 
5.6%
Other values (225) 4686
28.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
100.0%

도로명주소
Text

MISSING 

Distinct1038
Distinct (%)95.6%
Missing16
Missing (%)1.5%
Memory size8.7 KiB
2024-05-10T23:23:37.546537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length46
Mean length31.698895
Min length22

Characters and Unicode

Total characters34425
Distinct characters281
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique995 ?
Unique (%)91.6%

Sample

1st row서울특별시 강서구 강서로 206 (화곡동)
2nd row서울특별시 강서구 등촌로 39 (화곡동)
3rd row서울특별시 강서구 화곡로63길 93 (등촌동,신송 211)
4th row서울특별시 강서구 강서로17다길 2 (화곡동,2층)
5th row서울특별시 강서구 화곡로 197 (화곡동,16)
ValueCountFrequency (%)
서울특별시 1086
 
17.1%
강서구 1086
 
17.1%
화곡동 360
 
5.7%
1층 125
 
2.0%
강서로 104
 
1.6%
곰달래로 99
 
1.6%
2층 89
 
1.4%
화곡동,2층 77
 
1.2%
방화동 73
 
1.1%
화곡로 70
 
1.1%
Other values (996) 3186
50.1%
2024-05-10T23:23:38.867977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5871
 
17.1%
서 2474
 
7.2%
강 1380
 
4.0%
1 1333
 
3.9%
( 1247
 
3.6%
) 1247
 
3.6%
동 1216
 
3.5%
로 1194
 
3.5%
화 1095
 
3.2%
시 1093
 
3.2%
Other values (271) 16275
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19358
56.2%
Space Separator 5871
 
17.1%
Decimal Number 5347
 
15.5%
Open Punctuation 1248
 
3.6%
Close Punctuation 1248
 
3.6%
Other Punctuation 1046
 
3.0%
Math Symbol 136
 
0.4%
Dash Punctuation 127
 
0.4%
Uppercase Letter 41
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2474
 
12.8%
강 1380
 
7.1%
동 1216
 
6.3%
로 1194
 
6.2%
화 1095
 
5.7%
시 1093
 
5.6%
구 1088
 
5.6%
울 1087
 
5.6%
별 1087
 
5.6%
특 1086
 
5.6%
Other values (239) 6558
33.9%
Decimal Number
ValueCountFrequency (%)
1 1333
24.9%
2 892
16.7%
3 582
10.9%
4 451
 
8.4%
5 439
 
8.2%
6 426
 
8.0%
0 387
 
7.2%
7 319
 
6.0%
8 265
 
5.0%
9 253
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 22
53.7%
A 7
 
17.1%
F 4
 
9.8%
P 2
 
4.9%
T 2
 
4.9%
S 1
 
2.4%
N 1
 
2.4%
D 1
 
2.4%
G 1
 
2.4%
Math Symbol
ValueCountFrequency (%)
< 63
46.3%
> 63
46.3%
~ 7
 
5.1%
+ 3
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 1247
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1247
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5871
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1046
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19358
56.2%
Common 15023
43.6%
Latin 44
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2474
 
12.8%
강 1380
 
7.1%
동 1216
 
6.3%
로 1194
 
6.2%
화 1095
 
5.7%
시 1093
 
5.6%
구 1088
 
5.6%
울 1087
 
5.6%
별 1087
 
5.6%
특 1086
 
5.6%
Other values (239) 6558
33.9%
Common
ValueCountFrequency (%)
5871
39.1%
1 1333
 
8.9%
( 1247
 
8.3%
) 1247
 
8.3%
, 1046
 
7.0%
2 892
 
5.9%
3 582
 
3.9%
4 451
 
3.0%
5 439
 
2.9%
6 426
 
2.8%
Other values (11) 1489
 
9.9%
Latin
ValueCountFrequency (%)
B 22
50.0%
A 7
 
15.9%
F 4
 
9.1%
b 2
 
4.5%
P 2
 
4.5%
T 2
 
4.5%
S 1
 
2.3%
N 1
 
2.3%
Ⅰ 1
 
2.3%
D 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19358
56.2%
ASCII 15066
43.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5871
39.0%
1 1333
 
8.8%
( 1247
 
8.3%
) 1247
 
8.3%
, 1046
 
6.9%
2 892
 
5.9%
3 582
 
3.9%
4 451
 
3.0%
5 439
 
2.9%
6 426
 
2.8%
Other values (21) 1532
 
10.2%
Hangul
ValueCountFrequency (%)
서 2474
 
12.8%
강 1380
 
7.1%
동 1216
 
6.3%
로 1194
 
6.2%
화 1095
 
5.7%
시 1093
 
5.6%
구 1088
 
5.6%
울 1087
 
5.6%
별 1087
 
5.6%
특 1086
 
5.6%
Other values (239) 6558
33.9%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct155
Distinct (%)35.9%
Missing670
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean35481.706
Minimum7510
Maximum157930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-05-10T23:23:39.301640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7510
5-th percentile7569.2
Q17648.25
median7755
Q37792
95-th percentile157910
Maximum157930
Range150420
Interquartile range (IQR)143.75

Descriptive statistics

Standard deviation58345.673
Coefficient of variation (CV)1.6443875
Kurtosis0.64871496
Mean35481.706
Median Absolute Deviation (MAD)92
Skewness1.6265559
Sum15328097
Variance3.4042175 × 109
MonotonicityNot monotonic
2024-05-10T23:23:39.790436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7775 14
 
1.3%
7803 13
 
1.2%
157910 11
 
1.0%
7654 11
 
1.0%
7604 10
 
0.9%
7780 10
 
0.9%
7788 9
 
0.8%
7766 9
 
0.8%
7768 9
 
0.8%
7792 8
 
0.7%
Other values (145) 328
29.8%
(Missing) 670
60.8%
ValueCountFrequency (%)
7510 1
 
0.1%
7511 2
0.2%
7517 1
 
0.1%
7526 3
0.3%
7540 1
 
0.1%
7541 1
 
0.1%
7545 1
 
0.1%
7546 1
 
0.1%
7547 1
 
0.1%
7558 3
0.3%
ValueCountFrequency (%)
157930 2
 
0.2%
157928 4
 
0.4%
157925 1
 
0.1%
157922 4
 
0.4%
157918 5
0.5%
157914 1
 
0.1%
157910 11
1.0%
157909 2
 
0.2%
157902 1
 
0.1%
157897 2
 
0.2%

사업장명
Text

Distinct965
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
2024-05-10T23:23:40.436005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length6.4872958
Min length2

Characters and Unicode

Total characters7149
Distinct characters483
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique873 ?
Unique (%)79.2%

Sample

1st row아틀란티스
2nd row사이버스페이스
3rd row무성영상
4th row사이버시티
5th row클릭
ValueCountFrequency (%)
pc방 84
 
5.9%
pc 61
 
4.3%
화곡점 16
 
1.1%
대박pc 13
 
0.9%
zone 10
 
0.7%
pc클럽 8
 
0.6%
cafe 8
 
0.6%
인터넷 7
 
0.5%
시즌아이pc방 6
 
0.4%
월드pc방 5
 
0.4%
Other values (998) 1195
84.6%
2024-05-10T23:23:41.577604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 839
 
11.7%
P 833
 
11.7%
방 493
 
6.9%
312
 
4.4%
이 182
 
2.5%
스 157
 
2.2%
넷 105
 
1.5%
인 104
 
1.5%
아 99
 
1.4%
터 95
 
1.3%
Other values (473) 3930
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4298
60.1%
Uppercase Letter 2064
28.9%
Space Separator 312
 
4.4%
Lowercase Letter 259
 
3.6%
Decimal Number 69
 
1.0%
Close Punctuation 56
 
0.8%
Open Punctuation 56
 
0.8%
Dash Punctuation 20
 
0.3%
Other Punctuation 12
 
0.2%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 493
 
11.5%
이 182
 
4.2%
스 157
 
3.7%
넷 105
 
2.4%
인 104
 
2.4%
아 99
 
2.3%
터 95
 
2.2%
점 94
 
2.2%
드 88
 
2.0%
피 87
 
2.0%
Other values (404) 2794
65.0%
Uppercase Letter
ValueCountFrequency (%)
C 839
40.6%
P 833
40.4%
E 46
 
2.2%
N 44
 
2.1%
O 41
 
2.0%
T 29
 
1.4%
A 24
 
1.2%
I 23
 
1.1%
L 20
 
1.0%
J 20
 
1.0%
Other values (16) 145
 
7.0%
Lowercase Letter
ValueCountFrequency (%)
c 47
18.1%
p 46
17.8%
e 37
14.3%
o 15
 
5.8%
s 15
 
5.8%
a 13
 
5.0%
n 12
 
4.6%
u 12
 
4.6%
l 10
 
3.9%
r 8
 
3.1%
Other values (13) 44
17.0%
Decimal Number
ValueCountFrequency (%)
2 23
33.3%
1 14
20.3%
0 10
14.5%
3 7
 
10.1%
4 5
 
7.2%
5 4
 
5.8%
7 3
 
4.3%
8 2
 
2.9%
6 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 6
50.0%
& 3
25.0%
@ 2
 
16.7%
? 1
 
8.3%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
312
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4298
60.1%
Latin 2325
32.5%
Common 526
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 493
 
11.5%
이 182
 
4.2%
스 157
 
3.7%
넷 105
 
2.4%
인 104
 
2.4%
아 99
 
2.3%
터 95
 
2.2%
점 94
 
2.2%
드 88
 
2.0%
피 87
 
2.0%
Other values (404) 2794
65.0%
Latin
ValueCountFrequency (%)
C 839
36.1%
P 833
35.8%
c 47
 
2.0%
E 46
 
2.0%
p 46
 
2.0%
N 44
 
1.9%
O 41
 
1.8%
e 37
 
1.6%
T 29
 
1.2%
A 24
 
1.0%
Other values (41) 339
14.6%
Common
ValueCountFrequency (%)
312
59.3%
) 56
 
10.6%
( 56
 
10.6%
2 23
 
4.4%
- 20
 
3.8%
1 14
 
2.7%
0 10
 
1.9%
3 7
 
1.3%
. 6
 
1.1%
4 5
 
1.0%
Other values (8) 17
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4298
60.1%
ASCII 2848
39.8%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 839
29.5%
P 833
29.2%
312
 
11.0%
) 56
 
2.0%
( 56
 
2.0%
c 47
 
1.7%
E 46
 
1.6%
p 46
 
1.6%
N 44
 
1.5%
O 41
 
1.4%
Other values (56) 528
18.5%
Hangul
ValueCountFrequency (%)
방 493
 
11.5%
이 182
 
4.2%
스 157
 
3.7%
넷 105
 
2.4%
인 104
 
2.4%
아 99
 
2.3%
터 95
 
2.2%
점 94
 
2.2%
드 88
 
2.0%
피 87
 
2.0%
Other values (404) 2794
65.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%
None
ValueCountFrequency (%)
₂ 1
100.0%

최종수정일자
Date

Distinct1060
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
Minimum2003-04-18 11:50:44
Maximum2024-04-26 09:03:54
2024-05-10T23:23:41.997722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:42.546299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
I
833 
U
269 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 833
75.6%
U 269
 
24.4%

Length

2024-05-10T23:23:43.061883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:43.378388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 833
75.6%
u 269
 
24.4%

데이터갱신일자
Date

Distinct200
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-05-10T23:23:43.703131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:44.182409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

좌표정보(X)
Real number (ℝ)

Distinct724
Distinct (%)66.3%
Missing10
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean185883.13
Minimum182914.6
Maximum189098.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-05-10T23:23:44.752253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182914.6
5-th percentile183280.24
Q1185448.34
median185997.25
Q3186795.9
95-th percentile187845.42
Maximum189098.81
Range6184.2087
Interquartile range (IQR)1347.5611

Descriptive statistics

Standard deviation1434.4261
Coefficient of variation (CV)0.0077168171
Kurtosis-0.4402264
Mean185883.13
Median Absolute Deviation (MAD)670.27593
Skewness-0.44817202
Sum2.0298438 × 108
Variance2057578.2
MonotonicityNot monotonic
2024-05-10T23:23:45.240067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185478.109095782 9
 
0.8%
186029.723926037 9
 
0.8%
185766.024986194 6
 
0.5%
185723.238002462 6
 
0.5%
183366.101249557 6
 
0.5%
186853.073777308 5
 
0.5%
185695.59356134 5
 
0.5%
185997.249331005 5
 
0.5%
185498.695617073 5
 
0.5%
183234.666586664 5
 
0.5%
Other values (714) 1031
93.6%
(Missing) 10
 
0.9%
ValueCountFrequency (%)
182914.598086861 1
 
0.1%
183075.941843999 1
 
0.1%
183117.281621173 1
 
0.1%
183142.151410734 3
0.3%
183147.50519545 4
0.4%
183147.775733197 1
 
0.1%
183152.303016763 2
0.2%
183156.780629268 1
 
0.1%
183163.062623427 2
0.2%
183171.840506 1
 
0.1%
ValueCountFrequency (%)
189098.806779959 2
0.2%
188917.095297226 2
0.2%
188907.145870979 2
0.2%
188892.449990741 2
0.2%
188891.283361072 1
0.1%
188872.058097899 2
0.2%
188870.663928731 2
0.2%
188816.811575852 2
0.2%
188791.250134373 2
0.2%
188790.644148051 1
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct723
Distinct (%)66.2%
Missing10
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean449398.06
Minimum447316.21
Maximum452906.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-05-10T23:23:45.884535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447316.21
5-th percentile447385.75
Q1447810.63
median449163.57
Q3450658.68
95-th percentile452225.75
Maximum452906.52
Range5590.3063
Interquartile range (IQR)2848.0505

Descriptive statistics

Standard deviation1605.0206
Coefficient of variation (CV)0.0035714898
Kurtosis-1.1694909
Mean449398.06
Median Absolute Deviation (MAD)1382.2101
Skewness0.35515551
Sum4.9074268 × 108
Variance2576091.1
MonotonicityNot monotonic
2024-05-10T23:23:46.555838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449151.714759043 9
 
0.8%
447381.645907113 9
 
0.8%
447781.356867241 6
 
0.5%
447316.214981355 6
 
0.5%
452817.469477897 6
 
0.5%
447468.836493019 5
 
0.5%
452266.510498741 5
 
0.5%
450880.0 5
 
0.5%
450149.128774823 5
 
0.5%
447326.548615694 5
 
0.5%
Other values (713) 1031
93.6%
(Missing) 10
 
0.9%
ValueCountFrequency (%)
447316.214981355 6
0.5%
447326.548615694 5
0.5%
447328.54126812 1
 
0.1%
447329.136662979 1
 
0.1%
447330.821264356 4
0.4%
447332.601844375 1
 
0.1%
447347.460836389 1
 
0.1%
447350.195555594 1
 
0.1%
447351.945244904 1
 
0.1%
447353.94960188 1
 
0.1%
ValueCountFrequency (%)
452906.521290095 1
 
0.1%
452893.622300597 2
 
0.2%
452817.469477897 6
0.5%
452629.672831 2
 
0.2%
452554.819801157 1
 
0.1%
452430.779342 1
 
0.1%
452402.238297341 1
 
0.1%
452379.677063994 1
 
0.1%
452352.196018223 2
 
0.2%
452347.504036926 1
 
0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
인터넷컴퓨터게임시설제공업
1005 
<NA>
 
97

Length

Max length13
Median length13
Mean length12.207804
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인터넷컴퓨터게임시설제공업
2nd row인터넷컴퓨터게임시설제공업
3rd row인터넷컴퓨터게임시설제공업
4th row인터넷컴퓨터게임시설제공업
5th row인터넷컴퓨터게임시설제공업

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 1005
91.2%
<NA> 97
 
8.8%

Length

2024-05-10T23:23:47.036266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:47.378678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 1005
91.2%
na 97
 
8.8%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
유통관련업
1005 
<NA>
 
97

Length

Max length5
Median length5
Mean length4.9119782
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유통관련업
2nd row유통관련업
3rd row유통관련업
4th row유통관련업
5th row유통관련업

Common Values

ValueCountFrequency (%)
유통관련업 1005
91.2%
<NA> 97
 
8.8%

Length

2024-05-10T23:23:47.795486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:48.079019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 1005
91.2%
na 97
 
8.8%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)4.3%
Missing635
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean4.764454
Minimum0
Maximum28
Zeros33
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-05-10T23:23:48.347483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q35
95-th percentile9
Maximum28
Range28
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.1412013
Coefficient of variation (CV)0.65929933
Kurtosis14.301976
Mean4.764454
Median Absolute Deviation (MAD)1
Skewness2.8541393
Sum2225
Variance9.8671458
MonotonicityNot monotonic
2024-05-10T23:23:48.868464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
5 121
 
11.0%
4 118
 
10.7%
3 75
 
6.8%
6 43
 
3.9%
0 33
 
3.0%
7 19
 
1.7%
8 17
 
1.5%
2 8
 
0.7%
1 7
 
0.6%
9 6
 
0.5%
Other values (10) 20
 
1.8%
(Missing) 635
57.6%
ValueCountFrequency (%)
0 33
 
3.0%
1 7
 
0.6%
2 8
 
0.7%
3 75
6.8%
4 118
10.7%
5 121
11.0%
6 43
 
3.9%
7 19
 
1.7%
8 17
 
1.5%
9 6
 
0.5%
ValueCountFrequency (%)
28 1
 
0.1%
25 1
 
0.1%
20 1
 
0.1%
19 3
0.3%
17 1
 
0.1%
16 3
0.3%
15 2
0.2%
13 4
0.4%
12 1
 
0.1%
10 3
0.3%

주변환경명
Categorical

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
<NA>
630 
기타
311 
학교정화(상대)
 
63
주택가주변
 
50
유흥업소밀집지역
 
33

Length

Max length8
Median length4
Mean length3.8430127
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 630
57.2%
기타 311
28.2%
학교정화(상대) 63
 
5.7%
주택가주변 50
 
4.5%
유흥업소밀집지역 33
 
3.0%
아파트지역 15
 
1.4%

Length

2024-05-10T23:23:49.525635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:49.958708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 630
57.2%
기타 311
28.2%
학교정화(상대 63
 
5.7%
주택가주변 50
 
4.5%
유흥업소밀집지역 33
 
3.0%
아파트지역 15
 
1.4%

제작취급품목내용
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1101
Missing (%)99.9%
Memory size8.7 KiB
2024-05-10T23:23:50.206641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowpc
ValueCountFrequency (%)
pc 1
100.0%
2024-05-10T23:23:50.860373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
p 1
50.0%
c 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 1
50.0%
c 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 1
50.0%
c 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
p 1
50.0%
c 1
50.0%

시설면적
Real number (ℝ)

MISSING 

Distinct673
Distinct (%)69.0%
Missing127
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean123.46692
Minimum0
Maximum598.09
Zeros8
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-05-10T23:23:51.300929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23.156
Q155.79
median117
Q3165
95-th percentile271.125
Maximum598.09
Range598.09
Interquartile range (IQR)109.21

Descriptive statistics

Standard deviation82.986236
Coefficient of variation (CV)0.67213334
Kurtosis3.1419084
Mean123.46692
Median Absolute Deviation (MAD)52.2
Skewness1.231132
Sum120380.25
Variance6886.7153
MonotonicityNot monotonic
2024-05-10T23:23:51.880554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 22
 
2.0%
66.0 17
 
1.5%
99.0 16
 
1.5%
132.0 13
 
1.2%
165.0 13
 
1.2%
30.0 9
 
0.8%
0.0 8
 
0.7%
26.0 6
 
0.5%
158.4 6
 
0.5%
82.5 6
 
0.5%
Other values (663) 859
77.9%
(Missing) 127
 
11.5%
ValueCountFrequency (%)
0.0 8
0.7%
9.14 1
 
0.1%
10.0 1
 
0.1%
12.0 1
 
0.1%
13.0 1
 
0.1%
13.22 1
 
0.1%
14.85 1
 
0.1%
15.0 1
 
0.1%
16.67 1
 
0.1%
18.0 2
 
0.2%
ValueCountFrequency (%)
598.09 1
0.1%
540.01 1
0.1%
526.16 1
0.1%
509.09 1
0.1%
490.88 1
0.1%
478.13 1
0.1%
475.98 1
0.1%
413.63 1
0.1%
408.81 1
0.1%
392.06 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)3.0%
Missing595
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean3.7317554
Minimum0
Maximum25
Zeros25
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-05-10T23:23:52.395049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile7
Maximum25
Range25
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5605392
Coefficient of variation (CV)0.68614873
Kurtosis20.067146
Mean3.7317554
Median Absolute Deviation (MAD)1
Skewness3.3349581
Sum1892
Variance6.5563611
MonotonicityNot monotonic
2024-05-10T23:23:52.826522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 132
 
12.0%
3 131
 
11.9%
2 92
 
8.3%
5 48
 
4.4%
0 25
 
2.3%
6 21
 
1.9%
7 20
 
1.8%
1 17
 
1.5%
10 7
 
0.6%
15 5
 
0.5%
Other values (5) 9
 
0.8%
(Missing) 595
54.0%
ValueCountFrequency (%)
0 25
 
2.3%
1 17
 
1.5%
2 92
8.3%
3 131
11.9%
4 132
12.0%
5 48
 
4.4%
6 21
 
1.9%
7 20
 
1.8%
8 4
 
0.4%
10 7
 
0.6%
ValueCountFrequency (%)
25 1
 
0.1%
24 1
 
0.1%
15 5
 
0.5%
14 1
 
0.1%
12 2
 
0.2%
10 7
 
0.6%
8 4
 
0.4%
7 20
1.8%
6 21
1.9%
5 48
4.4%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.5%
Missing692
Missing (%)62.8%
Infinite0
Infinite (%)0.0%
Mean1.0463415
Minimum0
Maximum5
Zeros40
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-05-10T23:23:53.207575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.68179167
Coefficient of variation (CV)0.65159577
Kurtosis12.947358
Mean1.0463415
Median Absolute Deviation (MAD)0
Skewness2.9190567
Sum429
Variance0.46483988
MonotonicityNot monotonic
2024-05-10T23:23:53.564599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 342
31.0%
0 40
 
3.6%
3 10
 
0.9%
2 9
 
0.8%
4 6
 
0.5%
5 3
 
0.3%
(Missing) 692
62.8%
ValueCountFrequency (%)
0 40
 
3.6%
1 342
31.0%
2 9
 
0.8%
3 10
 
0.9%
4 6
 
0.5%
5 3
 
0.3%
ValueCountFrequency (%)
5 3
 
0.3%
4 6
 
0.5%
3 10
 
0.9%
2 9
 
0.8%
1 342
31.0%
0 40
 
3.6%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
<NA>
611 
근린생활시설
480 
사무실
 
5
유통시설
 
3
기타
 
2

Length

Max length6
Median length4
Mean length4.8629764
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 611
55.4%
근린생활시설 480
43.6%
사무실 5
 
0.5%
유통시설 3
 
0.3%
기타 2
 
0.2%
판매시설 1
 
0.1%

Length

2024-05-10T23:23:54.091440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:54.559027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 611
55.4%
근린생활시설 480
43.6%
사무실 5
 
0.5%
유통시설 3
 
0.3%
기타 2
 
0.2%
판매시설 1
 
0.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
<NA>
1096 
0
 
6

Length

Max length4
Median length4
Mean length3.9836661
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1096
99.5%
0 6
 
0.5%

Length

2024-05-10T23:23:55.071741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:55.423450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1096
99.5%
0 6
 
0.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
<NA>
1096 
0
 
6

Length

Max length4
Median length4
Mean length3.9836661
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1096
99.5%
0 6
 
0.5%

Length

2024-05-10T23:23:55.738331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:56.071072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1096
99.5%
0 6
 
0.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
<NA>
1096 
0
 
6

Length

Max length4
Median length4
Mean length3.9836661
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1096
99.5%
0 6
 
0.5%

Length

2024-05-10T23:23:56.437077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:56.744995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1096
99.5%
0 6
 
0.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
<NA>
1096 
0
 
6

Length

Max length4
Median length4
Mean length3.9836661
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1096
99.5%
0 6
 
0.5%

Length

2024-05-10T23:23:57.132710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:57.949092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1096
99.5%
0 6
 
0.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)29.6%
Missing771
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean37.743202
Minimum0
Maximum215
Zeros3
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-05-10T23:23:58.470806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q17
median18
Q354.5
95-th percentile108
Maximum215
Range215
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation39.892096
Coefficient of variation (CV)1.0569346
Kurtosis2.8839009
Mean37.743202
Median Absolute Deviation (MAD)13
Skewness1.589899
Sum12493
Variance1591.3793
MonotonicityNot monotonic
2024-05-10T23:23:58.976884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 35
 
3.2%
8 33
 
3.0%
6 32
 
2.9%
10 16
 
1.5%
5 14
 
1.3%
50 10
 
0.9%
9 10
 
0.9%
46 8
 
0.7%
53 7
 
0.6%
52 7
 
0.6%
Other values (88) 159
 
14.4%
(Missing) 771
70.0%
ValueCountFrequency (%)
0 3
 
0.3%
2 1
 
0.1%
3 1
 
0.1%
4 6
 
0.5%
5 14
 
1.3%
6 32
2.9%
7 35
3.2%
8 33
3.0%
9 10
 
0.9%
10 16
1.5%
ValueCountFrequency (%)
215 1
0.1%
201 1
0.1%
200 1
0.1%
178 1
0.1%
174 1
0.1%
157 1
0.1%
153 1
0.1%
149 1
0.1%
147 1
0.1%
141 1
0.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
<NA>
981 
전체이용가
118 
청소년이용불가
 
3

Length

Max length7
Median length4
Mean length4.115245
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 981
89.0%
전체이용가 118
 
10.7%
청소년이용불가 3
 
0.3%

Length

2024-05-10T23:23:59.438723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:59.895932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 981
89.0%
전체이용가 118
 
10.7%
청소년이용불가 3
 
0.3%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)100.0%
Memory size9.8 KiB

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
<NA>
736 
일반주거지역
253 
일반상업지역
 
68
준주거지역
 
26
준공업지역
 
12
Other values (4)
 
7

Length

Max length6
Median length4
Mean length4.6225045
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 736
66.8%
일반주거지역 253
 
23.0%
일반상업지역 68
 
6.2%
준주거지역 26
 
2.4%
준공업지역 12
 
1.1%
상업지역 2
 
0.2%
근린상업지역 2
 
0.2%
주거지역 2
 
0.2%
전용주거지역 1
 
0.1%

Length

2024-05-10T23:24:00.406996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:24:00.803506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 736
66.8%
일반주거지역 253
 
23.0%
일반상업지역 68
 
6.2%
준주거지역 26
 
2.4%
준공업지역 12
 
1.1%
상업지역 2
 
0.2%
근린상업지역 2
 
0.2%
주거지역 2
 
0.2%
전용주거지역 1
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03150000CDFF224102199800000119981228200201014취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>699-6907<NA>157919서울특별시 강서구 화곡동 1026-12번지서울특별시 강서구 강서로 206 (화곡동)<NA>아틀란티스2007-06-07 11:44:15I2018-08-31 23:59:59.0<NA>185617.497942449153.637972인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>165.293<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13150000CDFF224102199900000119990118<NA>3폐업3폐업19991020<NA><NA><NA>654-6145<NA>157897서울특별시 강서구 화곡동 775-8번지서울특별시 강서구 등촌로 39 (화곡동)<NA>사이버스페이스2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA>187855.254782447925.171433인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23150000CDFF224102199900000219990320200201014취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>3664-8383<NA>157030서울특별시 강서구 등촌동 662-3번지 신송 211서울특별시 강서구 화곡로63길 93 (등촌동,신송 211)<NA>무성영상2007-06-07 11:43:48I2018-08-31 23:59:59.0<NA>186483.586197450699.003693인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>72.272<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33150000CDFF224102199900000319990507<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>695-6908<NA>157882서울특별시 강서구 화곡동 353-55번지 2층서울특별시 강서구 강서로17다길 2 (화곡동,2층)<NA>사이버시티2007-06-07 11:44:31I2018-08-31 23:59:59.0<NA>185998.368527447836.82608인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>112.422<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43150000CDFF224102199900000419990601200201014취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>2603-0370<NA>157873서울특별시 강서구 화곡동 1060-15번지 16서울특별시 강서구 화곡로 197 (화곡동,16)<NA>클릭2007-06-07 11:44:48I2018-08-31 23:59:59.0<NA>186025.335301449026.349619인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>76.35<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53150000CDFF224102199900000519990607200201014취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>2607-8835<NA>157924서울특별시 강서구 화곡동 1068-32번지서울특별시 강서구 화곡로 111 (화곡동)<NA>스카이인터넷2007-06-07 11:45:07I2018-08-31 23:59:59.0<NA>185278.799329448676.705275인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>125.35<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63150000CDFF224102199900000619990612<NA>3폐업3폐업20010131<NA><NA><NA>696-1698<NA>157908서울특별시 강서구 화곡동 896-13번지 14서울특별시 강서구 곰달래로 146 (화곡동,14)<NA>블레이드2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA>186607.523842447600.715924인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>115.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73150000CDFF224102199900000719990616<NA>3폐업3폐업20010113<NA><NA><NA>3662-5356<NA>157805서울특별시 강서구 마곡동 723번지 지하서울특별시 강서구 강서로 375 (가양동,지하)<NA>발산PC인터넷방2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA>185602.427478450775.865231인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>95.5<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83150000CDFF224102199900000819990626<NA>3폐업3폐업20001220<NA><NA><NA>3663-0044<NA>157897서울특별시 강서구 화곡동 779-1번지 3층동서울특별시 강서구 곰달래로 266-1, 3층동 (화곡동)<NA>진원 인터넷 월드2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA>187795.740019447772.561141인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>163.200<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93150000CDFF224102199900000919990629<NA>3폐업3폐업20010712<NA><NA><NA>661-8696<NA>157897서울특별시 강서구 화곡동 776-3번지서울특별시 강서구 등촌로 35 (화곡동)<NA>휴먼PC방2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA>187854.849416447880.535621인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>77.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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10953150000CDFF22410220230000132023-11-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 1117-7 덕영빌딩서울특별시 강서구 공항대로46길 90, 덕영빌딩 2층 (화곡동)7658레벨업PC카페2023-11-24 09:47:04I2022-10-31 22:06:00.0<NA>186742.624405450021.68331<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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